A meta-feature based unified framework for both cold-start and warm-start explainable recommendations.
Ning YangYuchi MaLi ChenPhilip S. YuPublished in: World Wide Web (2020)
Keyphrases
- cold start
- unified framework
- recommender systems
- cold start problem
- collaborative filtering
- data sparsity
- tag recommendation
- user preferences
- implicit feedback
- probabilistic model
- recommendation algorithms
- personalized recommendation
- image features
- data sparseness
- image segmentation
- recommendation quality
- user ratings
- matrix factorization
- recommendation systems
- user interests
- eye tracking
- user profiles
- active learning
- collaborative filtering algorithms
- machine learning